SOTAVerified

Image Generation

Image Generation (synthesis) is the task of generating new images from an existing dataset.

  • Unconditional generation refers to generating samples unconditionally from the dataset, i.e. $p(y)$
  • Conditional image generation (subtask) refers to generating samples conditionally from the dataset, based on a label, i.e. $p(y|x)$.

In this section, you can find state-of-the-art leaderboards for unconditional generation. For conditional generation, and other types of image generations, refer to the subtasks.

( Image credit: StyleGAN )

Papers

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Showing 4151–4200 of 6689 papers

TitleStatusHype
MultiDiffusion: Fusing Diffusion Paths for Controlled Image GenerationCode3
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion ModelsCode4
SyreaNet: A Physically Guided Underwater Image Enhancement Framework Integrating Synthetic and Real ImagesCode1
Visible-Infrared Person Re-Identification via Patch-Mixed Cross-Modality Learning—0
3D-aware Conditional Image SynthesisCode4
Text-driven Visual Synthesis with Latent Diffusion Prior—0
Defect Transfer GAN: Diverse Defect Synthesis for Data Augmentation—0
Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy—0
CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution—0
Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask—0
DiffFaceSketch: High-Fidelity Face Image Synthesis with Sketch-Guided Latent Diffusion ModelCode1
Preconditioned Score-based Generative ModelsCode1
NephroNet: A Novel Program for Identifying Renal Cell Carcinoma and Generating Synthetic Training Images with Convolutional Neural Networks and Diffusion Models—0
Adding Conditional Control to Text-to-Image Diffusion ModelsCode7
MaskSketch: Unpaired Structure-guided Masked Image GenerationCode7
Example-Based Sampling with Diffusion Models—0
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion ModelsCode2
Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective DynamicsCode1
Robot Synesthesia: A Sound and Emotion Guided AI PainterCode1
MEGANE: Morphable Eyeglass and Avatar Network—0
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning ConventionsCode0
Mask Conditional Synthetic Satellite ImageryCode1
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation—0
Q-Diffusion: Quantizing Diffusion ModelsCode2
Geometry-Complete Diffusion for 3D Molecule Generation and OptimizationCode2
PFGM++: Unlocking the Potential of Physics-Inspired Generative ModelsCode2
Fair Diffusion: Instructing Text-to-Image Generation Models on FairnessCode1
Information-Theoretic DiffusionCode1
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular AutomataCode1
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable DiffusionCode1
Spatial Functa: Scaling Functa to ImageNet Classification and Generation—0
Private GANs, RevisitedCode0
Generative Diffusion Models on Graphs: Methods and ApplicationsCode2
Latent Space Bayesian Optimization with Latent Data Augmentation for Enhanced Exploration—0
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory RetrievalCode1
KDEformer: Accelerating Transformers via Kernel Density EstimationCode1
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories—0
Mixture of Diffusers for scene composition and high resolution image generationCode2
Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle DiffusionCode0
Divide and Compose with Score Based Generative ModelsCode0
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification—0
This Intestine Does Not Exist: Multiscale Residual Variational Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation—0
TEXTure: Text-Guided Texturing of 3D ShapesCode2
On Suppressing Range of Adaptive Stepsizes of Adam to Improve Generalisation Performance—0
Are Diffusion Models Vulnerable to Membership Inference Attacks?Code1
GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face SynthesisCode1
Towards CGAN-based Satellite Image Synthesis with Partial Pixel-Wise Annotation—0
Stable Attribute Group Editing for Reliable Few-shot Image GenerationCode0
Stable Target Field for Reduced Variance Score Estimation in Diffusion ModelsCode1
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets—0
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All datasetsImageNet 256x256CIFAR-10ImageNet 64x64ImageNet 512x512FFHQ 256 x 256CelebA 64x64ImageNet 32x32LSUN Bedroom 256 x 256STL-10LSUN Churches 256 x 256ImageNet 128x128FFHQ 1024 x 1024

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3—Unverified
2ADMFID11.84—Unverified
3BigGAN-deepFID8.1—Unverified
4Polarity-BigGANFID6.82—Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59—Unverified
6MaskGITFID6.18—Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2—Unverified
8CDMFID4.88—Unverified
9ADM-GFID4.59—Unverified
10RINFID4.51—Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2—Unverified
2RESFLOWFID48.29—Unverified
3Residual FlowFID46.37—Unverified
4GLF+perceptual loss (ours)FID44.6—Unverified
5ProdPoly no activation functionsFID40.45—Unverified
6ProdPoly no activation functionsFID36.77—Unverified
7ACGANFID35.47—Unverified
8DenseFlow-74-10FID34.9—Unverified
9NVAE w/ flowFID32.53—Unverified
10QSNGANFID31.97—Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87—Unverified
2GLIDE + CLIPFID30.46—Unverified
3GLIDE + CLS-FREEFID29.22—Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18—Unverified
5PGMGANFID21.73—Unverified
6CLR-GANFID20.27—Unverified
7FMFID14.45—Unverified
8CT (Direct Generation, NFE=1)FID13—Unverified
9CT (Direct Generation, NFE=2)FID11.1—Unverified
10GLIDE +CLSKID7.95—Unverified